Uses of Class
weka.classifiers.trees.j48.ModelSelection

Packages that use ModelSelection

weka.classifiers.rules.part
weka.classifiers.trees.j48
weka.classifiers.trees.lmt

Uses of ModelSelection in weka.classifiers.rules.part

Constructors in weka.classifiers.rules.part with parameters of type ModelSelection

C45PruneableDecList(ModelSelection toSelectLocModel, double cf, int minNum)
Constructor for pruneable tree structure.

ClassifierDecList(ModelSelection toSelectLocModel, int minNum)
Constructor - just calls constructor of class DecList.

MakeDecList(ModelSelection toSelectLocModel, double cf, int minNum)
Constructor for dec list pruned using C4.5 pruning.

MakeDecList(ModelSelection toSelectLocModel, int minNum)
Constructor for unpruned dec list.

MakeDecList(ModelSelection toSelectLocModel, int num, int minNum, int seed)
Constructor for dec list pruned using hold-out pruning.

PruneableDecList(ModelSelection toSelectLocModel, int minNum)
Constructor for pruneable partial tree structure.

Uses of ModelSelection in weka.classifiers.trees.j48

Subclasses of ModelSelection in weka.classifiers.trees.j48

class	BinC45ModelSelection Class for selecting a C4.5-like binary (!) split for a given dataset.
class	C45ModelSelection Class for selecting a C4.5-type split for a given dataset.
class	NBTreeModelSelection Class for selecting a NB tree split.

Constructors in weka.classifiers.trees.j48 with parameters of type ModelSelection

C45PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, float cf, boolean raiseTree, boolean cleanup, boolean collapseTree)
Constructor for pruneable tree structure.

ClassifierTree(ModelSelection toSelectLocModel)
Constructor.

NBTreeClassifierTree(ModelSelection toSelectLocModel)

PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, int num, boolean cleanup, int seed)
Constructor for pruneable tree structure.

Uses of ModelSelection in weka.classifiers.trees.lmt

Subclasses of ModelSelection in weka.classifiers.trees.lmt

class

ResidualModelSelection Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals.

Constructors in weka.classifiers.trees.lmt with parameters of type ModelSelection

LMTNode(ModelSelection modelSelection, int numBoostingIterations, boolean fastRegression, boolean errorOnProbabilities, int minNumInstances, double weightTrimBeta, boolean useAIC)
Constructor for logistic model tree node.